Arvind Pillai

According to our database, Arvind Pillai authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic.

Subigya Nepal, Wenjun Liu, Arvind Pillai, Weichen Wang, Vlado Vojdanovski, Jeremy F. Huckins, Courtney Rogers, Meghan Meyer, Andrew T. Campbell

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

Social Isolation and Serious Mental Illness: The Role of Context-Aware Mobile Interventions.

Subigya Nepal, Arvind Pillai, Emma M. Parrish, Jason Holden, Colin Depp, Andrew T. Campbell, Eric L. Granholm

IEEE Pervasive Comput., 2024

PaPaGei: Open Foundation Models for Optical Physiological Signals.

Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh

CoRR, 2024

MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences.

Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Michael V. Heinz, Ashmita Kunwar, Eunsol Soul Choi, Orson Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Sarah M. Preum, Colin Depp, Nicholas Jacobson, Mary Czerwinski, Eric L. Granholm, Andrew T. Campbell

CoRR, 2024

Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App.

Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Eunsol Soul Choi, Orson Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Colin A. Depp, Nicholas C. Jacobson, Mary Czerwinski, Eric L. Granholm, Andrew T. Campbell

CoRR, 2024

Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App.

Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Eunsol Soul Choi, Xuhai Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Colin A. Depp, Nicholas C. Jacobson, Mary P. Czerwinski, Eric L. Granholm, Andrew T. Campbell

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

MoodCapture: Depression Detection using In-the-Wild Smartphone Images.

Subigya Nepal, Arvind Pillai, Weichen Wang, Tess Griffin, Amanda C. Collins, Michael V. Heinz, Damien Lekkas, Shayan Mirjafari, Matthew Nemesure, George D. Price, Nicholas C. Jacobson, Andrew T. Campbell

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones.

Arvind Pillai, Subigya Kumar Nepal, Weichen Wang, Matthew Nemesure, Michael V. Heinz, George D. Price, Damien Lekkas, Amanda C. Collins, Tess Griffin, Benjamin Buck, Sarah Masud Preum, Trevor Cohen, Nicholas C. Jacobson, Dror Ben-Zeev, Andrew T. Campbell

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning.

Arvind Pillai, Subigya Nepal, Andrew Campbell

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Accurate Step Count with Generalized and Personalized Deep Learning on Accelerometer Data.

Long Luu, Arvind Pillai, Halsey Lea, Rubén Buendía, Faisal M. Khan, Glynn Dennis

Sensors, 2022

First-Gen Lens: Assessing Mental Health of First-Generation Students across Their First Year at College Using Mobile Sensing.

Weichen Wang, Subigya Nepal, Jeremy F. Huckins, Lessley Hernandez, Vlado Vojdanovski, Dante Mack, Jane Plomp, Arvind Pillai, Mikio Obuchi, Alex daSilva, Eilis Murphy, Elin Hedlund, Courtney Rogers, Meghan Meyer, Andrew Campbell

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

2021

Accurate Step Count With Generalizable Deep Learning on Accelerometer Data.

Long Luu, Arvind Pillai, Halsey Lea, Rubén Buendía, Faisal M. Khan, Glynn Dennis

Proceedings of the IEEE Intl Conf on Dependable, 2021

2020

Personalized Step Counting Using Wearable Sensors: A Domain Adapted LSTM Network Approach.

Arvind Pillai, Halsey Lea, Faisal M. Khan, Glynn Dennis

CoRR, 2020

2019

Graph Convolutional Networks for Predicting Drug-Protein Interactions.

Hafez Eslami Manoochehri, Arvind Pillai, Mehrdad Nourani

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Local diagonal extrema number pattern: A new feature descriptor for face recognition.

Arvind Pillai, Rajkumar Soundrapandiyan, Swapnil Satapathy, Suresh Chandra Satapathy, Ki-Hyun Jung, Rajakumar Krishnan

Future Gener. Comput. Syst., 2018